# Simulate AI Behavior

## Description
`Simulate AI Behavior` is a Python-based tool that allows developers to simulate autonomous AI agent behaviors in customizable virtual environments. This tool is designed to help test ethical and security implications of AI systems by providing configurable tasks, rewards, and constraints. It is particularly useful for debugging and benchmarking AI systems.

## Features
- Configurable simulation environments using JSON configuration files.
- Customizable reward systems and constraints.
- Real-time logging of agent behavior.
- Optional visualization of agent performance over time.

## Installation

1. Clone the repository:
    ```bash
    git clone <repository_url>
    cd simulate_ai_behavior
    ```

2. Install the required dependencies:
    ```bash
    pip install -r requirements.txt
    ```

## Usage

### Example

1. Create a JSON configuration file (e.g., `config.json`):
    ```json
    {
        "action_space": 2,
        "observation_space": {"low": 0, "high": 1, "shape": [1]},
        "initial_state": [0.5],
        "reward_function": "lambda state, action: 1",
        "state_transition": "lambda state, action: state",
        "max_steps": 10
    }
    ```

2. Run the simulation:
    ```bash
    python simulate_ai_behavior.py --config config.json --visualize
    ```

### Command-line Arguments
- `--config`: Path to the JSON configuration file (required).
- `--visualize`: Enable visualization of the simulation (optional).

## Testing

To run the test suite, use:
```bash
pytest test_simulate_ai_behavior.py
```

## License
This project is licensed under the MIT License.